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Update to DeepStream 6.3

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Marcos Luciano
2023-08-25 17:19:39 -03:00
parent f630b10a80
commit d24ae06740
14 changed files with 286 additions and 26 deletions
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44
README.md
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@@ -1,6 +1,6 @@
# DeepStream-Yolo
NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration for YOLO models
NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration for YOLO models
--------------------------------------------------------------------------------------------------
### Important: please export the ONNX model with the new export file, generate the TensorRT engine again with the updated files, and use the new config_infer_primary file according to your model
@@ -55,13 +55,23 @@ NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration for Y
### Requirements
#### DeepStream 6.3 on x86 platform
* [Ubuntu 20.04](https://releases.ubuntu.com/20.04/)
* [CUDA 12.1 Update 1](https://developer.nvidia.com/cuda-12-1-1-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local)
* [TensorRT 8.5 GA Update 2 (8.5.3.1)](https://developer.nvidia.com/nvidia-tensorrt-8x-download)
* [NVIDIA Driver 525.125.06 (Data center / Tesla series) / 530.41.03 (TITAN, GeForce RTX / GTX series and RTX / Quadro series)](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA DeepStream SDK 6.3](https://developer.nvidia.com/deepstream-getting-started)
* [GStreamer 1.16.3](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.2 on x86 platform
* [Ubuntu 20.04](https://releases.ubuntu.com/20.04/)
* [CUDA 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local)
* [TensorRT 8.5 GA Update 1 (8.5.2.2)](https://developer.nvidia.com/nvidia-tensorrt-8x-download)
* [NVIDIA Driver 525.85.12 (Data center / Tesla series) / 525.105.17 (TITAN, GeForce RTX / GTX series and RTX / Quadro series)](https://www.nvidia.com.br/Download/index.aspx)
* [NVIDIA DeepStream SDK 6.2](https://developer.nvidia.com/deepstream-getting-started)
* [NVIDIA DeepStream SDK 6.2](https://developer.nvidia.com/deepstream-sdk-download-tesla-archived)
* [GStreamer 1.16.3](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
@@ -105,10 +115,16 @@ NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration for Y
* [GStreamer 1.14.5](https://gstreamer.freedesktop.org/)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.3 on Jetson platform
* [JetPack 5.1.2](https://developer.nvidia.com/embedded/jetpack)
* [NVIDIA DeepStream SDK 6.3](https://developer.nvidia.com/deepstream-sdk)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.2 on Jetson platform
* [JetPack 5.1.1 / 5.1](https://developer.nvidia.com/embedded/jetpack)
* [NVIDIA DeepStream SDK 6.2](https://developer.nvidia.com/deepstream-sdk)
* JetPack [5.1.2](https://developer.nvidia.com/embedded/jetpack) / [5.1.1](https://developer.nvidia.com/embedded/jetpack-sdk-511) / [5.1](https://developer.nvidia.com/embedded/jetpack-sdk-51)
* [NVIDIA DeepStream SDK 6.2](https://developer.nvidia.com/embedded/deepstream-on-jetson-downloads-archived)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
#### DeepStream 6.1.1 on Jetson platform
@@ -125,7 +141,7 @@ NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration for Y
#### DeepStream 6.0.1 / 6.0 on Jetson platform
* [JetPack 4.6.2](https://developer.nvidia.com/embedded/jetpack-sdk-462)
* [JetPack 4.6.4](https://developer.nvidia.com/jetpack-sdk-464)
* [NVIDIA DeepStream SDK 6.0.1 / 6.0](https://developer.nvidia.com/embedded/deepstream-on-jetson-downloads-archived)
* [DeepStream-Yolo](https://github.com/marcoslucianops/DeepStream-Yolo)
@@ -167,6 +183,12 @@ cd DeepStream-Yolo
#### 3. Compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -197,7 +219,7 @@ cd DeepStream-Yolo
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
@@ -252,15 +274,15 @@ config-file=config_infer_primary_yoloV2.txt
* x86 platform
```
nvcr.io/nvidia/deepstream:6.2-devel
nvcr.io/nvidia/deepstream:6.2-triton
nvcr.io/nvidia/deepstream:6.3-gc-triton-devel
nvcr.io/nvidia/deepstream:6.3-triton-multiarch
```
* Jetson platform
```
nvcr.io/nvidia/deepstream-l4t:6.2-samples
nvcr.io/nvidia/deepstream-l4t:6.2-triton
nvcr.io/nvidia/deepstream-l4t:6.3-samples
nvcr.io/nvidia/deepstream:6.3-triton-multiarch
```
**NOTE**: To compile the `nvdsinfer_custom_impl_Yolo`, you need to install the g++ inside the container
@@ -269,7 +291,7 @@ config-file=config_infer_primary_yoloV2.txt
apt-get install build-essential
```
**NOTE**: With DeepStream 6.2, the docker containers do not package libraries necessary for certain multimedia operations like audio data parsing, CPU decode, and CPU encode. This change could affect processing certain video streams/files like mp4 that include audio track. Please run the below script inside the docker images to install additional packages that might be necessary to use all of the DeepStreamSDK features:
**NOTE**: With DeepStream 6.3, the docker containers do not package libraries necessary for certain multimedia operations like audio data parsing, CPU decode, and CPU encode. This change could affect processing certain video streams/files like mp4 that include audio track. Please run the below script inside the docker images to install additional packages that might be necessary to use all of the DeepStreamSDK features:
```
/opt/nvidia/deepstream/deepstream/user_additional_install.sh

8
docs/DAMOYOLO.md
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@@ -98,6 +98,12 @@ Copy the generated ONNX model file and labels.txt file (if generated) to the `De
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -128,7 +134,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/INT8Calibration.md
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@@ -8,6 +8,12 @@ sudo apt-get install libopencv-dev
### 2. Compile/recompile the `nvdsinfer_custom_impl_Yolo` lib with OpenCV support
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 OPENCV=1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -38,7 +44,7 @@ sudo apt-get install libopencv-dev
CUDA_VER=11.1 OPENCV=1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 OPENCV=1 make -C nvdsinfer_custom_impl_Yolo

8
docs/PPYOLOE.md
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@@ -75,6 +75,12 @@ Copy the generated ONNX model file and labels.txt file (if generated) to the `De
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -105,7 +111,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLONAS.md
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@@ -131,6 +131,12 @@ Copy the generated ONNX model file to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -161,7 +167,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOR.md
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@@ -116,6 +116,12 @@ Copy the generated ONNX model file and labels.txt file (if generated) to the `De
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -146,7 +152,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOX.md
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@@ -80,6 +80,12 @@ Copy the generated ONNX model file to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -110,7 +116,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv5.md
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@@ -108,6 +108,12 @@ Copy the generated ONNX model file and labels.txt file (if generated) to the `De
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -138,7 +144,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv6.md
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@@ -108,6 +108,12 @@ Copy the generated ONNX model file to the `DeepStream-Yolo` folder.
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -138,7 +144,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv7.md
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@@ -110,6 +110,12 @@ Copy the generated ONNX model file and labels.txt file (if generated) to the `De
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -140,7 +146,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

8
docs/YOLOv8.md
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@@ -101,6 +101,12 @@ Copy the generated ONNX model file and labels.txt file (if generated) to the `De
Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -131,7 +137,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo

16
docs/customModels.md
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@@ -25,6 +25,12 @@ cd DeepStream-Yolo
### Compile the lib
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -49,13 +55,19 @@ cd DeepStream-Yolo
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 5.1 on x86 platform
```
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.0.1 / 6.0 on Jetson platform
* DeepStream 6.0.1 / 6.0 / 5.1 on Jetson platform
```
CUDA_VER=10.2 make -C nvdsinfer_custom_impl_Yolo

164
docs/dGPUInstalation.md
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@@ -2,6 +2,166 @@
To install the DeepStream on dGPU (x86 platform), without docker, we need to do some steps to prepare the computer.
<details><summary>DeepStream 6.3</summary>
### 1. Disable Secure Boot in BIOS
### 2. Install dependencies
```
sudo apt-get update
sudo apt-get install gcc make git libtool autoconf autogen pkg-config cmake
sudo apt-get install python3 python3-dev python3-pip
sudo apt-get install dkms
sudo apt install libssl1.1 libgstreamer1.0-0 gstreamer1.0-tools gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav libgstreamer-plugins-base1.0-dev libgstrtspserver-1.0-0 libjansson4 libyaml-cpp-dev libjsoncpp-dev protobuf-compiler
sudo apt-get install linux-headers-$(uname -r)
```
**NOTE**: Purge all NVIDIA driver, CUDA, etc (replace $CUDA_PATH to your CUDA path)
```
sudo nvidia-uninstall
sudo $CUDA_PATH/bin/cuda-uninstaller
sudo apt-get remove --purge '*nvidia*'
sudo apt-get remove --purge '*cuda*'
sudo apt-get remove --purge '*cudnn*'
sudo apt-get remove --purge '*tensorrt*'
sudo apt autoremove --purge && sudo apt autoclean && sudo apt clean
```
### 3. Install CUDA Keyring
```
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
```
### 4. Download and install NVIDIA Driver
<details><summary>TITAN, GeForce RTX / GTX series and RTX / Quadro series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/530.41.03/NVIDIA-Linux-x86_64-530.41.03.run
```
<blockquote><details><summary>Laptop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd
```
**NOTE**: This step will disable the nouveau drivers.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd
```
**NOTE**: If you are using a laptop with NVIDIA Optimius, run
```
sudo apt-get install nvidia-prime
sudo prime-select nvidia
```
</details></blockquote>
<blockquote><details><summary>Desktop</summary>
* Run
```
sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
**NOTE**: This step will disable the nouveau drivers.
* Reboot
```
sudo reboot
```
* Install
```
sudo sh NVIDIA-Linux-x86_64-530.41.03.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</details></blockquote>
</blockquote></details>
<details><summary>Data center / Tesla series</summary><blockquote>
- Download
```
wget https://us.download.nvidia.com/tesla/525.125.06/NVIDIA-Linux-x86_64-525.125.06.run
```
* Run
```
sudo sh NVIDIA-Linux-x86_64-525.125.06.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</blockquote></details>
### 5. Download and install CUDA
```
wget https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run
sudo sh cuda_12.1.1_530.30.02_linux.run --silent --toolkit
```
* Export environment variables
```
echo $'export PATH=/usr/local/cuda-12.1/bin${PATH:+:${PATH}}\nexport LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc && source ~/.bashrc
```
### 6. Install TensorRT
```
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
sudo apt-get install libnvinfer8=8.5.3-1+cuda11.8 libnvinfer-plugin8=8.5.3-1+cuda11.8 libnvparsers8=8.5.3-1+cuda11.8 libnvonnxparsers8=8.5.3-1+cuda11.8 libnvinfer-bin=8.5.3-1+cuda11.8 libnvinfer-dev=8.5.3-1+cuda11.8 libnvinfer-plugin-dev=8.5.3-1+cuda11.8 libnvparsers-dev=8.5.3-1+cuda11.8 libnvonnxparsers-dev=8.5.3-1+cuda11.8 libnvinfer-samples=8.5.3-1+cuda11.8 libcudnn8=8.7.0.84-1+cuda11.8 libcudnn8-dev=8.7.0.84-1+cuda11.8 python3-libnvinfer=8.5.3-1+cuda11.8 python3-libnvinfer-dev=8.5.3-1+cuda11.8
sudo apt-mark hold libnvinfer* libnvparsers* libnvonnxparsers* libcudnn8* python3-libnvinfer* tensorrt
```
### 7. Download and install the DeepStream SDK
DeepStream 6.3 for Servers and Workstations
```
wget --content-disposition 'https://api.ngc.nvidia.com/v2/resources/org/nvidia/deepstream/6.3/files?redirect=true&path=deepstream-6.3_6.3.0-1_amd64.deb' -O deepstream-6.3_6.3.0-1_amd64.deb
sudo apt-get install ./deepstream-6.3_6.3.0-1_amd64.deb
rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
sudo ln -snf /usr/local/cuda-12.1 /usr/local/cuda
```
### 8. Reboot the computer
```
sudo reboot
```
</details>
<details><summary>DeepStream 6.2</summary>
### 1. Disable Secure Boot in BIOS
@@ -109,13 +269,13 @@ sudo prime-select nvidia
- Download
```
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/525.105.17/NVIDIA-Linux-x86_64-525.105.17.run
wget https://us.download.nvidia.com/tesla/525.85.12/NVIDIA-Linux-x86_64-525.85.12.run
```
* Run
```
sudo sh NVIDIA-Linux-x86_64-525.105.17.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
sudo sh NVIDIA-Linux-x86_64-525.85.12.run --no-cc-version-check --silent --disable-nouveau --dkms --install-libglvnd --run-nvidia-xconfig
```
</blockquote></details>

8
docs/multipleGIEs.md
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@@ -50,6 +50,12 @@ const char* YOLOLAYER_PLUGIN_VERSION {"2"};
**NOTE**: Do it for each GIE folder, replacing the GIE folder name (`gie1/nvdsinfer_custom_impl_Yolo`).
* DeepStream 6.3 on x86 platform
```
CUDA_VER=12.1 make -C gie1/nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 on x86 platform
```
@@ -74,7 +80,7 @@ const char* YOLOLAYER_PLUGIN_VERSION {"2"};
CUDA_VER=11.4 make -C gie1/nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
* DeepStream 6.3 / 6.2 / 6.1.1 / 6.1 on Jetson platform
```
CUDA_VER=11.4 make -C gie1/nvdsinfer_custom_impl_Yolo